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System and method for identifying similarities among objects in a collection

  • US 6,941,321 B2
  • Filed: 10/19/1999
  • Issued: 09/06/2005
  • Est. Priority Date: 01/26/1999
  • Status: Expired due to Fees
First Claim
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1. A computer-implemented method for calculating the similarity between two objects in a collection of objects, wherein each object is associated with at least a first feature vector and a second feature vector, each of the first and second feature vectors being a multi-dimensional vector, the first feature vector being representative of a first feature of the objects and the second feature vector being representative of a second feature of the objects, the first feature being a one of a first set of multi-modal features including a text feature, a URL feature, an inlink feature and an outlink feature, and the second feature being an image feature, comprising the steps of:

  • identifying the first feature vector for a first object and the first feature vector of a second object;

    computing a first distance metric between the first feature vector for the first object and the first feature vector for the second object;

    identifying, without reference to textual information, the second feature vector of the first object and the second feature vector of the second object;

    computing a second distance metric between the second feature vector for the first object and the second feature vector for the second object; and

    computing a sum of the first distance metric and the second distance metric.

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